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|
| Country |
India |
| Detailed JD (Roles and Responsibilities) |
Core Responsibilities
- Develop robust Python applications for risk analytics and scenario generation.
- Collaborate with traders, risk managers, and quantitative analysts to gather requirements and deliver efficient solutions.
- Build and maintain data pipelines for large-scale risk calculations usingNumpy,Pandas, and other scientific libraries.
- Integrate risk models with SQL-based data stores and ensure optimal query performance.
- Develop and maintainunit tests (Pytest) andfunctional tests (Cucumber/Gherkin) for model validation and application reliability.
- Work in anAgile environment, participating in sprint planning, code reviews, and continuous integration/deployment (CI/CD).
- Design and exposeREST APIs for risk calculation services and reporting.
- Implement automated workflows and deployment pipelines, ideally usingAzure DevOps.
|
| Total Experience |
Min 5+ Years |
| Relevant Experience |
Min 5+ Years |
| Mandatory skills |
- 5+ years of hands-on Python experience, including:
- Object-oriented programming (Classes)
- Advanced Python features (lambda expressions, list comprehensions)
- Strong experience withNumpy/Pandas for numerical and data analysis.
- Solid understanding ofSQL databases and query optimization.
- Solid experience withPyspark
- Familiarity withSDLC tools (source control, code review, CI/CD pipelines).
- Experience writingunit and functional tests for complex systems.
|
| Desired skills |
- Exposure toTrading Front/Middle/Back Office workflows, ideally inenergy or commodity markets.
- Experience working onglobally traded markets and physical commodities.
- Prior work onBeacon,Athena,Quartz, or similar risk platforms.
- Knowledge ofrisk metrics (VaR, CVaR) and regulatory frameworks.
- Understanding ofderivatives pricing, volatility modeling, and scenario analysis.
|
| Domain (Industry) |
Gas Energy & Trading |
| Work Location |
Any DC offshore |
| Mode of Interview- Telephonic/Face to Face/Video Interview |
Video Interview and Face to Face |
| WFO / WFH / Hybrid |
Hybrid |
| Shift Details (Time) |
UK Shift |
